Deep Learning approach for tree species identification and structural parameter extraction in selected sites of Meghalaya using Unmanned Arieal Vehicle hyperspectral and LiDAR image

Created using ChatSlide

This presentation explores the integration of UAV and hyperspectral imagery with deep learning techniques for forest monitoring, focusing on tree species identification in Meghalaya. It covers the significance of remote sensing and AI in addressing traditional challenges in forest surveys. The methodology involves data acquisition, preprocessing, and model applications using CNNs, ResNet, and U-Net for precise classification and segmentation. By analyzing the structural parameters such as...